An integrated modelling framework for regulated river systems

Environmental Modelling and Software

Volumn 39, Issue , 2013, Pages 81-102

  Welsh, Wendy D ^a,e   Vaze, Jai ^a,e   Dutta, Dushmanta ^a,e   Rassam, David ^a,e   Rahman, Joel M ^b,e   Jolly, Ian D ^a,e   Wallbrink, Peter ^a,e   Podger, Geoffrey M ^a,e   Bethune, Matthew ^c,e   Hardy, Matthew J ^d,e   Teng, Jin ^a,e   Lerat, Julien ^a,e  

^a CSIRO   (Australia)

^b Flow Matters Pty Ltd   (Australia)

^c Murray Darling Basin Authority   (Australia)

^d BMT WBM Australia   (Australia)

^e EWATER COOPERATIVE RESEARCH CENTRE   (Australia)

Author keywords

Murray Darling Basin; Rainfall runoff modelling; River management and operations; River system modelling; Source IMS

Indexed keywords

MURRAY-DARLING BASIN; RAINFALL-RUNOFF MODELLING; RIVER MANAGEMENT; RIVER SYSTEMS; SOURCE IMS;

CATCHMENTS; ECOLOGY; ECONOMICS; GROUNDWATER; RESERVOIRS (WATER); RIVERS; RUNOFF; WATER SUPPLY;

WATER RESOURCES;

GROUNDWATER RESOURCE; INTEGRATED APPROACH; NUMERICAL MODEL; RAINFALL-RUNOFF MODELING; RIVER SYSTEM; TWENTY FIRST CENTURY; WATER PLANNING; WATER RESOURCE;

AUSTRALIA; MURRAY-DARLING BASIN;

EID: 84870295752     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.02.022     Document Type: Article

References (110)

1. Acreman M., Dunbar M. Defining environmental river flow requirements - a review. Hydrology and Earth Systems Sciences 2004, 8(5):861-876.
2. Andréassian V., Perrin C., Michel C., Usartsanchez I., Lavabre J. Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models. Journal of Hydrology 2001, 250(1-4):206-223.
3. Argent R.M., Grayson R.B., Podger G.M., Rahman J.M., Seaton S., Perraud J.-M. E2-A flexible framework for catchment modelling. MODSIM 05 International Congress on Modelling and Simulation 2005, Modelling and Simulation Society of Australia, December 12-15, Melbourne, Australia, 594-600 pp. A. Zerger, R.M. Argent (Eds.).
4. Argent R.M., Perraud J.-M., Rahman J.M., Grayson R.B., Podger G.M. A new approach to water quality modelling and environmental decision support systems. Environmental Modelling and Software 2009, 24(7):809-818.
5. Argent R.M., Vertessy R.A., Minty L.J., Stewart B.J. A national water resources data and prediction system for Australia. iEMSs 2008: International Congress on Environmental Modelling and Software, International Environmental Modelling and Software Society (iEMSs) 2008, 20-27. M. Sànchez-Marrè, J. Béjar, J. Comas, A. Rizzoli, G. Guariso (Eds.).
6. Assaf H., van Beek E., Borden C., Gijsbers P., Jolma A., Kaden S., Kaltofen M., Labadie J.W., Loucks D.P., Quinn N.W.T., Sieber J., Sulis A., Werick W.J., Wood D.M. Generic simulation models for facilitating stakeholder Involvement. Water Resources Planning and Management: a Comparison, Evaluation, and Identification of Future Needs, Chapter 13, Environmental Modelling, Software and Decision Support: State of the Art and New Perspectives 2008, 231-246. Elsevier.
7. Atkinson R., Power R., Lemon D., O'Hagan R., Dovey D., Kinny D. The Australian Hydrological Geospatial Fabric - Development Methodology and Conceptual Architecture 2008, CSIRO: Water for a Healthy Country National Research Flagship, Canberra, Australia, 57 p.
8. Beck M.B. Water quality modelling: a review of the analysis of uncertainty. Water Resources Research 1987, 23(8):1393-1442.
9. Beven K., Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes 1992, 6(3):279-298.
10. Bicknell B.R., Imhoff J.C., Kittle J.L., Donigian A.S., Johanson R.C. Hydrological Simulation Program - Fortran, User's Manual for Version 11 1997, U.S. Environmental Protection Agency, National Exposure Research Laboratory, Athens, Ga, EPA/600/R-97/080, 755 p.
11. Blackmore J.M., Dandy G.C., Kuczera G., Rahman J. Making the most of modelling: a decision framework for the water industry. Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia 2009, 3775-3781.
12. Black, D., Wallbrink, P., Jordan, P., Waters, D., Carroll, C., Blackmore, J., 2011. Guidelines for water management modelling: Towards best-practice model application. eWater Cooperative Research Centre, ISBN 978-1-921543-46-3.
13. BoM Operational Implementation of the ACCESS Numerical Weather Prediction Systems 2010, NMOC Operations Bulletin No. 83, Bureau of Meteorology, Australian Government.
14. BoM Australian Hydrological Geospatial Fabric (Geofabric) 2010, Information sheet 5, Bureau of Meteorology, Commonwealth of Australia, p. 2. http://www.bom.gov.au/water/about/publications/document/InfoSheet_5.pdf.
15. Boughton W.C. The Australian water balance model. Environmental Modelling and Software 2004, 19:943-956.
16. Bridgart R.J., Bethune M. Development of River Operator: a tool to support operational management of river systems. Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009 2009, 3782-3788.
17. Burnash R.J.C., Ferral R.L., McGuire R.A. A Generalised Streamflow Simulation System - Conceptual Modelling for Digital Computers 1973, Joint Federal and State River Forecast Center, Sacramento, Technical Report, 204 p.
18. Carron J., Zagona E., Fulp T. Modeling uncertainty in an object-oriented reservoir operations model. Journal of Irrigation and Drainage Engineering 2006, 132:104.
19. Chiew F.H.S., Peel M.C., Western A.W. Application and testing of the simple rainfall-runoff model SIMHYD. Mathematical Models of Small Watershed Hydrology and Applications 2002, 335-367. Water Resources Publications, Littleton, USA. V.P. Singh, D.K. Frevert (Eds.).
20. Chowdhury S. Asserting predictive uncertainty of regulated river system model. 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009 2009, 3144-3150. http://mssanz.org.au/modsim09.
21. Close, A., 1996a. A New Daily Model of Flow and Solute Transport in the River Murray. 23rd Hydrology and Water Resources Symposium, Hobart, Australia, 21-24 May 1996, 173-178 pp.
22. Close A.F. The BIGMOD Model of Flow in the River Murray 1996, MDBC Technical Report 96/12, Murray-Darling Basin Commission, Canberra.
23. Croke B.F.W., Andrews F., Jakeman A.J., Cuddy S.M., Luddy A. IHACRES Classic Plus: a redesign of the IHACRES rainfall-runoff model. Environmental Modelling and Software 2006, 21:426-427.
24. CSIRO Water Availability in the Murray. A Report to the Australian Government from the CSIRO Murray-Darling Basin Sustainable Yields Project 2008, CSIRO, Australia, 217 p.
25. CSU MODSIM-DSS Water Rights Planning, Water Resources Management & River Operations Decision Support System 2011, Colorado State University. http://modsim.engr.colostate.edu/.
26. Cuddy S.M., Fitch P. Hydrologists workbench - a hydrological domain workflow toolkit. Modelling for Environment's Sake, Proceedings of the 5th Biennial Conference of the International Modelling and Software Society, iEMSs, 5-8 July 2010, Ottawa, Ontario, Canada 2010, 1562-1569. http://www.iemss.org/iemss2010/Volume1.pdf, D.A. Swayne, W. Yang, A.A. Voinov, A. Rizzoli, T. Filatova (Eds.).
27. Deltares RIMBASIN 2010, http://www.wldelft.nl/soft/ribasim/.
28. DHI Mike Basin 2003-A Versatile Decision Support Tool for Integrated Water Resources Management Planning - Guide to Getting Started - Tutorial 2003, DHI Water and Environment, 34 p.
29. DHI MIKE SHE 2011, DHI Group. http://www.mikebydhi.com/Products/WaterResources/MIKESHE.aspx.
30. Diment G.A. Wide use of a generalised headworks and resources model: REALM. Proceedings International Hydrology and Water Resources Symposium, Perth, Australia 1991, vol. 91(22):579-583. Institution of Engineers, Australia, National Conference Publication.
31. Doherty J. PEST-ASP User's Manual 2001, Watermark Numerical Computing, Brisbane, Australia.
32. Duan Q.Y., Gupta V.K., Sorooshian S. Shuffled complex evolution approach for effective and efficient global minimization. Journal of Optimization Theory and Applications 1993, 76(3):501-521.
33. Dudley N.J., Musgrave W.F. Capacity sharing of water reservoirs. Water Resources Research 1988, 24(5):649-658. 10.1029/WR024i005p00649.
34. Eckhardt K., Fohrer N., Frede H.-G. Automatic model calibration. Hydrological Processes 2005, 19(3):651-658. 10.1002/hyp.5613.
35. Efron B., Tibshirani R.J. An Introduction to the Bootstrap 1993, Chapman and Hall, London.
36. Endreny T.A., Higgins M. Adding radar rainfall and calibration to the TR-20 watershed model to improve dam removal flood analysis. ASCE Journal of Water Resources Management and Planning 2008, 34(3):314-317.
37. Erlanger P.D., Poulton D.C., Weinmann P.E. Development and application of an irrigation demand model based on crop factors. Proceedings of the Conference on Engineering in Agriculture, Institution of Engineers Australian National Conference, Albury, 4-7 October, 1992, 82/11 1992, 283-288.
38. Etchells T., Malano H. Identifying Uncertainty in Water Allocation Modelling 2005, MODSIM 2005 International Congress on Modelling and Simulation, 2005, 2484-2490 pp.
39. eWater eFlow Predictor. eWater Toolkit 2009, eWater CRC. http://www.toolkit.net.au/Tools/eFlow-Predictor.
40. eWater How to Write a Source Plugin 2011, eWater CRC, Canberra, 46 p.
41. Feldman A.D. Hydrologic Modelling System HEC-HMS Technical Reference Manual 2000, U.S. army Corps of Engineers, Hydrologic Engineering Center, Report CPD-74B, Washington DC, 155 p.
42. Ford L.R., Fulkerson D.R. Flows in Networks 1962, Princeton Univ. Press.
43. Gijsbers P. Opportunities and limitations of DelftFEWS as a scientific workflow tool for environmental modelling. Modelling for Environment's Sake, Proceedings of the 5th Biennial Conference of the International Modelling and Software Society, iEMSs, 5-8 July 2010, Ottawa, Ontario, Canada 2010, 1587-1594. http://www.iemss.org/iemss2010/Volume1.pdf, D.A. Swayne, W. Yang, A.A. Voinov, A. Rizzoli, T. Filatova (Eds.).
44. Gilmore R.L., Kuczera G., Penton D., Podger G. Improving the efficiency of delivering water in Australian river systems: modelling multiple paths. Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009 2009, 225-231. http://mssanz.org.au/modsim09.
45. Gupta H.V., Sorooshian S., Yapo P.O. Toward improved calibration of hydrologic models: multiple and noncommensurable measures of information. Water Resources Research 1998, 34(4):751-763.
46. GMW Yarrawonga Weir. Goulburn-Murray Water, Australia 2011, http://www.g-mwater.com.au/water-resources/storages/yarrawongaweir.
47. Goswami M., O'Connor K.M., Shamseldin A.Y. Structures & performances of five rainfall - runoff models for continuous river-flow simulation. Proc. 1st Biennial Meeting of Int. Env. Modeling and Software Soc., Lugano, Switzerland 2002, vol. 1:476-481.
48. Grayson R., Bloschl G. Spatial modelling of catchment dynamics. Spatial Patterns in Catchment Hydrology: Observations and Modelling 2001, 51-81. Cambridge University Press. http://www.catchment.crc.org.au/special_publications1.html, R. Grayson, G. Bloschl (Eds.).
49. Harbaugh A.W. A Computer Program for Calculating Subregional Water Budgets Using Results from the U.S. Geological Survey Modular Three-dimensional Finite-difference Ground-water Flow Model 1990, U.S. Geological Survey Open File Report 90-392, U.S. Geological Survey, Reston, Virginia, 24 p.
50. Herron N.F., Hairsine P.B. A scheme for evaluating the effectiveness of riparian zones in reducing overland flow to streams. Australian Journal of Soil Research 1998, 36:683-698.
51. Jolly I.D., Rassam D.W. A review of modelling of groundwater-surface water interactions in arid/semi-arid floodplains. Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, July 2009 2009, 3088-3094.
52. Kavetski D., Kuczera G., Franks S.W. Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory. Water Resources Research, AGU 2006, 42:W03407.
53. Knapen M.J.R., Verweij P., Wien J.E., Hummel S. OpenMI - the universal glue for integrated modelling?. Proceedings of the 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009 2009, 895-901.
54. Knight J.H., Rassam D.W. Groundwater head responses due to random stream stage fluctuations using basis splines. Water Resources Research 2007, 43(W06501). 10.1029/2006WR005155.
55. Koussis A.D. Comparison of Muskingum method difference scheme. Journal of Hydraulic Division, ASCE 1980, 106(5):925-929.
56. Kuczera G. WATHNET-generalized Water Supply Headworks Simulation Using Network Linear Programming, Version 3 1997, School of Engineering, University of Newcastle.
57. Lerat J., Tomkins K., Shao Q., Peeters L., Yang A., Rassam D. How to quantify uncertainty in water allocation models? An exploratory analysis based on hypothetical case studies. In: Risk in Water Resources Management, Proceedings of symposium H03 held during IUGG2011 2011, Melbourne, Australia, July 2011, IAHS Publ. 347.
58. Linsley R.K., Kohler M.A., Paulhus J.L.H. Applied Hydrology 1949, McGraw-Hill, New York, N.Y, 689 p.
59. Marsh N., Pickett T. Quantifying environmental water demand to inform environmental flow studies. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, Cairns, Australia 13-17 July 2009 2009, 3844-3850. http://www.mssanz.org.au/modsim09/I11/marsh_I11.pdf, R.S. Anderssen, R.D. Braddock, L.T.H. Newham (Eds.).
60. McDonald E.R. A benchmark for the Australian Hydrological Geospatial Fabric. Proceedings of the Surveying & Spatial Sciences Institute Biennial International Conference, Adelaide 2009 2009, 163-174. Surveying & Spatial Sciences Institute. B. Ostendorf, P. Baldock, D. Bruce, M. Burdett, P. Corcoran (Eds.).
61. McDonald M.G., Harbaugh A.W. A Modular Three-Dimensional Finite-difference Ground-water Flow Model 1988, Book 6, (Chapter A1), US Government Printing Office, Washington.
62. McNeilage C. Upper Namoi Groundwater Flow Model 2006, NSW Department of Natural Resources, Parramatta, 175 p.
63. Merz R., Bloschl G. Regionalisation of catchment model parameters. Journal of Hydrology 2004, 287:95-123.
64. MDBC Setting up of MSM_BIGMOD Modelling Suite for the River Murray System 2002, MDBC Technical Report 2002/5, Murray-Darling Basin Commission.
65. MDBA Socio-economic Context for the Murray-Darling Basin 2009, Descriptive Report. MDBA Technical Report Series: Basin Plan: BP02, September 2009, 158 p.
66. MRC Decision Support Framework, Water Utilisation Project Component A: Final Report. Technical Reference Report, DSF 620 SWAT and IQQM Models 2004, vol. 11.
67. Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models, I, A discussion of principles. Journal of Hydrology 1970, 10:282-290.
68. Nathan R.J., Jordan P., Morden R. Assessing the impact of farm dams on streamflows, Part 1: development of simulation tools. Australian Journal of Water Resources 2005, 9(1):1-12.
69. Nicholls D. River Operations and Management (ROM) Products, River Operations Tools and Guidelines (P1) 2006, eWater CRC, Canberra, Australia.
70. NWI Intergovernmental Agreement on a National Water Initiative Between the Commonwealth of Australia and the Governments of New South Wales, Victoria, Queensland, South Australia, the Australian Capital Territory and the Northern Territory 2004, Canberra, ACT, 39 p.
71. Oudin L., Andreassian V., Perrin C., Michel C., Le Moine N. Spatial proximity, physical similarity, regression and ungauged catchments: a comparison of regionalisation approaches based on 913 French catchments. Water Resources Research 2008, 44:W03413. 10.1029/2007WR006240.
72. Parajka J., Merz R., Bloschl G. A comparison of regionalisation methods for catchment model parameters. Hydrology and Earth System Sciences Discussions 2005, 2:509-542.
73. Peel M.C., McMahon T.A., Finlayson B.L. Continental differences in the variability of annual runoff - update and reassessment. Journal of Hydrology 2004, 295:185-197.
74. Penton D., Gilmore R. Comparing software for modelling the management rules that river operators implement. 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Proceedings, Cairns, QLD, 13-17 July 2009 2009.
75. Perera B.J.C., James B., Kularathna M.D.U. Computer software tool REALM for sustainable water allocation and management. Journal of Environmental Management 2005, 77:291-300.
76. Perrin C., Michel C., Andreassian V. Improvement of a parsimonious model for streamflow simulations. Journal of Hydrology 2003, 279:275-289.
77. Podger G. IQQM Reference Manual, Software Version 7.32 2004, New South Wales Department of Infrastructure Planning and Natural Resources.
78. Podger G., Beecham R. IQQM User Manual 2004, New South Wales Department of Infrastructure Planning and Natural Resources.
79. Rahman J.M., Seaton S.P., Perraud J.-M., Hotham H., Verrelli D.I., Coleman J.R. It's TIME for a New Environmental Modelling Framework. Proceedings of MODSIM 2003 2003, vol. 4. 1727-1732 pp.
80. Rassam D.W. A conceptual framework for incorporating surface-groundwater interactions into a river operation-planning model. Environmental Modelling and Software 2011, 10.1016/j.envsoft.2011.07.019.
81. Rassam D.W., Fellows C., DeHayr R., Hunter H., Bloesch P. The hydrology of riparian buffer zones; two case studies in an ephemeral and a perennial stream. Journal of Hydrology 2006, 325:308-324.
82. Rassam D.W., Pagendam D., Hunter H. Conceptualisation and application of models for groundwater - surface water interactions and nitrate attenuation potential in riparian zones. Environmental Modelling and Software 2008, 23:859-875. 10.1016/j.envsoft.2007.11.003.
83. Refsgaard J.C., Henriksen H.J., Harrar W.G., Scholten H., Kassahun A. Quality assurance in model based water management - review of existing practice and outline of new approaches. Environmental Modelling and Software 2005, 20:1201-1215. doi:10.1016/j.envsoft.2004.07.006.
84. Rosenbrock H.H. An automatic method for finding the greatest or least value of a function. Computer Journal 1960, 3:175-184.
85. Simons M., Podger G., Cooke R. IQQM - a hydrologic modelling tool for water resource and salinity management. Environmental Software 1996, 11:185-192.
86. SEI WEAP: Water Evaluation and Planning System 2011, Stockholm Environment Institute. http://www.weap21.org/.
87. Sik Kim B., Kyung Kim B., Soo Kim H. Flood simulation using the gauge-adjusted radar rainfall and physics-based distributed hydrologic model. Hydrological Processes 2008, 22:4400-4414. 10.1002/hyp.7043.
88. SKM PRIDE User Manual, PRIDE Version 2 2007, Department of Sustainability and Environment, Goulburn-Murray Water and Sinclair Knight Merz, Australia, 44 p.
89. Srdjevic B. Transportation problem - standard vs network linear programming: 1. General scope. Proceedings of the 3rd Balkan Conference on Operational Research, Hellenic Operational Research Society Thessalonica, Greece, 16-19 October, 1995 1995, 1-8.
90. Thyer M., Micevski T., Kuczera G., Coombes P. The Behavioural End Use Stochastic Simulation Model (BESS): a behavioural approach to stochastic end use modelling. Proceedings of the Oz Water. Adelaide 2011, 9-11. May 2011.
91. USACE HEC-5 Simulation of Flood Control and Conservation Systems, Version 8, User's Manual 1998, Report CPD-5, Hydrologic Engineering Center, US Army Corps of Engineers, CA, 370 p.
92. USACE HEC-ResSim 2010, US Army Corps of Engineers. http://www.hec.usace.army.mil/software/hec-ressim/.
93. van Dijk A., Kirby J., Paydar Z., Podger G., Mainuddin M., Marvanek S., Peña-Arancibia J. Uncertainty in River Modelling Across the Murray-Darling Basin 2008, A report to the Australian Government from the CSIRO Murray-Darling Basin Sustainable Yields Project CSIRO, Australia: 93 p. http://www.clw.csiro.au/publications/waterforahealthycountry/mdbsy/technical/O-SurfaceWaterModelUncertainty.pdf.
94. Vaze J., Barnett P., Beale G.T.H., Dawes W., Evans R., Tuteja N.K., Murphy B., Geeves G., Miller M. Modelling the effects of landuse change on water and salt delivery from a catchment affected by dryland salinity in south-east Australia. Hydrological Processes 2004, 18:1613-1637.
95. Vaze J., Johnston W.H., Teng J., Tuteja N.K., Johnson I. A generic pasture growth model (CLASS PGM): development, testing and implementation. Environmental Modelling and Software 2009, 24:107-114.
96. Vaze J., Chiew F.H.S., Perraud J.-M., Viney N., Post D.A., Teng J., Wang B., Lerat J., Goswami M. Rainfall-runoff modelling across southeast Australia: datasets, models and results. Australian Journal of Water Resources 2010, 14(2):101-116.
97. Vaze J., Teng J., Spencer G. Impact of DEM accuracy and resolution on topographic indices. Environmental Modelling and Software 2010, 25:1086-1098.
98. Vaze J., Davidson A., Teng J., Podger G. Impact of climate change on water availability in the Macquarie-Castlereagh river basin in Australia. Hydrological Processes 2011, 25(16):2597-2612. 10.1002/hyp.8030.
99. Vaze J., Jordon P., Beecham R., Frost A., Summerell G. Guidelines for Rainfall-runoff Modelling: Towards Best Practice Model Application 2011, eWater Cooperative Research Centre, Australia, ISBN 978-1-921543-51-7. http://www.ewater.com.au/uploads/files/eWater-Guidelines-RRM-(v1_0-Interim-Dec-2011).pdf.
100. Vaze J., Post D.A., Chiew F.H.S., Perraud J.-M., Teng J., Viney N. Conceptual rainfall-runoff model performance with different spatial rainfall inputs. Journal of Hydrometeorology 2011, 12(5):1100-1112. 10.1175/2011JHM1340.1.
101. Viney N.R., Perraud J.-M., Vaze J., Chiew F.H.S., Post D.A., Yang A. The Usefulness of Bias Constraints in Model Calibration for Regionalisation to Ungauged Catchments 2009, 18th World IMACS/MODSIM Congress, Cairns, Australia 13-17 July 2009. http://mssanz.org.au/modsim09.
102. Welsh W.D., Black D. Engaging stakeholders for a software development project: river manager model. Modelling for Environment's Sake, Proceedings of the 5th Biennial Conference of the International Modelling and Software Society, iEMSs, 5-8 July 2010, Ottawa, Ontario, Canada 2010, 539-546. http://www.iemss.org/iemss2010/Volume1.pdf, D.A. Swayne, W. Yang, A.A. Voinov, A. Rizzoli, T. Filatova (Eds.).
103. Welsh W.D., Podger G.M. Australian Hydrological Modelling Initiative: River System Management Tool (AHMI: RSMT) Functionality Specifications 2008, eWater Technical Report, eWater Cooperative Research Centre, Canberra.
104. Wolock D.M. Simulating the Variable-source-area Concept of Streamflow Generation with the Watershed Model TOPMODEL 1993, US Geological Survey Water Resources investigation Report 93-4124, 33 p.
105. Wurbs R.A. Comparative Evaluation of Generalised Reservoir/River System Models 2005, Technical Report No. 282, Department of Civil Engineering, Texas A&M University, Texas, USA, 203 p.
106. Wurbs R.A. Water Rights Analysis Package (WRAP) Modelling System Reference Manual 2010, Texas A&M University Report TR-255, Texas Water Resources Institute, College Station, Texas, 320 p.
107. Yang A., Podger G. An Agent Based Hydrological Simulation System for Murray-Darling Basin, Australia 2010, 9th International Conference on Hydroinformatics HIC 2010, 7-11 September 2010, Tianjin, China: 1478-1485 pp.
108. Zagona E.A., Fulp T.J., Goranflo H.M., Shane R.M. Riverware: a general river and reservoir modelling environment. Proceedings of the First Federal Interagency Hydrologic Modeling Conference, Las Vegas, Nevada, April 19-23, 1998, 5 1998, 113-120.
109. Zagona E.A., Fulp T.J., Shane R., Magee T., Goranflo H.M. RiverWare: a generalized tool for complex reservoir system modelling. Journal of the American Water Resources Association 2001, 7(4):913-929.
110. Zaman A.M., Etchells T.M., Malano H.M., Davidson B. Towards the next generation of rural water demand modelling. Proceedings of the International Congress on Modelling and Simulation 2007, 2555-2561.